Summary
Eric Hsu is a Data Scientist with a decade of experience building forecasting, capacity planning, and production ML solutions across Google and enterprise analytics at TIBCO. He combines strong statistical foundations from Duke (M.S. in Statistical Science) and a BS in Statistical Science/Public Finance with hands-on cloud engineering across AWS and GCP, plus Scala, Python, R, Spark and TensorFlow to move models from research into scalable pipelines. At Google he focuses on forecasting and capacity planning, drawing on prior roles that span time-series and Bayesian modeling, predictive analytics, and large-scale data engineering. Comfortable across the stack—from BigQuery and EMR to Sagemaker and Cloud ML—he blends rigorous probabilistic thinking with pragmatic systems design to deliver reliable, production-ready insights. An academic-turned-practitioner who started in research labs and internships, he often bridges nuanced statistical methods with real-world operational constraints.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Statistical Science (B.S.) and Public Finance (B.A.), Bachelor of Science - BS, Statistical Science (B.S.) and Public Finance (B.A.) at National Chengchi University
Statistical Science (M.S.), Bayesian Statistics, Bayesian Time Series and Dynamic Model, Machine Learning, Predictive Modeling, Statistical Science (M.S.), Bayesian Statistics, Bayesian Time Series and Dynamic Model, Machine Learning, Predictive Modeling at Duke University
Chinese, English, Mandarin